Company data buyer’s guide · Reviewed 6 October 2026
Choose an OpenCorporates alternative around the decision you need to make
The eight OpenCorporates alternatives covered here are Zephira, Global Database, D&B, Moody’s Orbis, Sayari, Zavia, LexisNexis RiskNarrative and Creditsafe. They serve different needs: company-registry lookup, ownership research, financial risk or an entire onboarding workflow.
Start with your countries, required fields and delivery method. Then test the same companies across your shortlist. A large headline database or a low API price tells you little about whether a record is usable in your actual KYB process.
Published by Zephira. This is a commercial buyer’s guide, not an independent performance ranking. Global Database is a related company-data offering. Provider descriptions reflect public product information reviewed on the date above; availability, licensing and prices require confirmation.
When is an alternative to OpenCorporates worth evaluating?
OpenCorporates remains a useful starting point for finding legal entities and their registry identifiers. Its API documents source and provenance information, officers and company relationships. Ownership-related records can be available where the underlying sources disclose them. It would be misleading to describe OpenCorporates as having no ownership data or no API.
An alternative becomes relevant when you need a different combination of fields, jurisdiction-specific evidence, structured financials, relationship investigation, monitoring, licensing or integration support. Separate registry identity, disclosed shareholders and resolved beneficial ownership: those are different outputs, with different source and access limits.
For a focused two-provider evaluation, use our Zephira and OpenCorporates comparison. This guide covers the wider shortlist and how to choose between different product categories.
Eight OpenCorporates alternatives: compare by workflow
These categories describe documented product positioning, not measured superiority. A provider may support several workflows; shortlisted products still need testing in your countries and contract.
Showing all eight providers.
| Provider | Documented product focus | Best question to test | Commercial check |
|---|---|---|---|
| Zephira | Registry records, disclosed relationships and structured filed financials through web, API and MCP access | Are the required fields and source dates available for our actual companies? | Current plan, checks, API throttles and permitted use |
| Global Database | Company intelligence, KYB, financial and ownership datasets across platform and API products | Which dataset and endpoint resolve our workflow without unnecessary enrichment? | Dataset scope, access method and licensing |
| D&B | D-U-N-S identification and business intelligence delivered through Direct+ | Do entity matching, identifiers and risk datasets fit our master records? | Contracted modules, volumes and usage rights |
| Moody’s Orbis | Company reference data, standardised financials and ownership structures | Can we trace the relevant ownership chain with dated supporting evidence? | Orbis edition, datasets and delivery entitlement |
| Sayari | Relationship, trade and risk intelligence for investigations | Does relationship exploration reveal the exposure our investigators need? | Product package and investigation/API access |
| Zavia | KYB, shareholder and ownership API products | Which disclosed owners and resolved relationships are returned in each jurisdiction? | Endpoint availability, coverage and current quote |
| LexisNexis RiskNarrative | Configurable onboarding, fraud and AML risk orchestration | Do the configured data sources and decision rules fit our onboarding process? | Workflow configuration, integrations and licensed data |
| Creditsafe | Business credit reports and company data through Connect APIs | Are the credit fields and company relationships usable in our target markets? | Country report content, API package and usage |
The row order is a reading order, not a performance score. No vendor match rates, speed benchmarks or customer outcomes have been invented for this comparison.
What each provider is designed to help you evaluate
1. Zephira
Zephira brings company identity, officers, disclosed shareholders, corporate linkages and digitised filed financials into company-data workflows. Web access, a REST API, MCP access and bulk delivery support different integration needs.
Evaluate: field availability and source dates by jurisdiction, how absent data is represented, and the rights needed to embed or redistribute records. Start with coverage and the current plans. A financial statement is only available when the underlying source supplies it; disclosed shareholders do not automatically resolve every UBO.
2. Global Database
Global Database offers company intelligence with KYB, officers, shareholders, financials and group structures through its platform and modular APIs. It is relevant when your requirements extend beyond a basic legal-entity lookup into enrichment or financial analysis.
Evaluate: the specific dataset, evidence and delivery route required. Separate registry-derived data from other enrichment fields and verify how missing values, source dates and licensed usage are handled. Compare the actual package with Zephira; do not assume related offerings have identical endpoints or entitlements.
3. Dun & Bradstreet
D&B Direct+ delivers business intelligence into applications, with D-U-N-S identification relevant to entity matching and business master data. It is worth considering where established identifiers and commercial risk information matter to your organisation.
Evaluate: matching on subsidiaries, branches and similarly named entities. Confirm which data blocks are licensed, how confidence is expressed and which underlying risk fields are available. Request contract-specific pricing rather than comparing an assumed enterprise licence with a self-service API plan.
4. Moody’s Orbis
Orbis combines company reference information, standardised financials and ownership structures. It is a useful option to investigate when analysts need to explore corporate groups or compare financial information across businesses.
Evaluate: ownership depth, source dates, unresolved links and the financial periods available for your sample. Separate the Orbis dataset from additional screening or verification products in a quote. An ownership chain in a database still needs interpretation and appropriate supporting evidence for your process.
5. Sayari
Sayari positions its products around relationship, trade and risk intelligence. Its investigation-oriented approach is relevant when analysts need to explore connected entities and exposure, rather than simply fetch a registration status.
Evaluate: whether the relationship paths are relevant, explainable and supported by dated sources. Test the investigation interface and any API requirements separately. Confirm the licensed product and datasets; a graph exploration workflow and a transactional company-lookup API solve different problems.
6. Zavia
Zavia documents company search, KYB shareholders and ownership endpoints. These can support teams evaluating programmatic access to company records and ownership-related information.
Evaluate: disclosed shareholders versus resolved indirect ownership, the jurisdiction-level source behind each relationship, and missing-data responses. Request representative outputs and current commercial terms. Treat broad coverage statements as the start of a field-by-field test, not proof that every entity has complete ownership or financial records.
7. LexisNexis RiskNarrative
RiskNarrative is positioned as a configurable platform for onboarding, fraud and AML risk processes. It belongs on a shortlist when you need data sources, rules and decisions assembled into an operational workflow.
Evaluate: the company-verification sources in the proposed configuration, review queues, audit trail and integration effort. It is a different buying category from a registry database. Confirm the data and features included in your package instead of treating the entire platform as a like-for-like lookup API.
8. Creditsafe
Creditsafe Connect APIs provide company and credit-report information, including financial, director and relationship data where available. This is relevant when company lookup supports a credit or counterparty risk decision.
Evaluate: report content by country, the meaning of each credit measure and the freshness of financial periods. Confirm API access, search and report consumption terms. Do not assume a credit report replaces registry evidence or supplies beneficial ownership in every jurisdiction.
Calculate cost per usable company record
A low headline price can be expensive if many returned records lack the fields you need. Use this model with results from your own sample and the same currency for both licence and review costs.
Illustrative planning model. The defaults below are editable examples, not vendor prices or measured performance. “Usable” means a company was matched and all fields required by your workflow were present. No input is sent to a server by this calculator.
Enter valid values within the stated ranges. Results below remain the last valid model until all inputs are valid.
Where your attempted companies go
How completeness changes licence cost per usable record
Same entered licence cost, company volume and match rate; only required-field completeness changes. Shorter bars mean a lower unit cost.
Example monthly model: $500.00 licence + $1,973.33 review = $2,473.33 before integration, taxes and any overages.
Usable companies = attempts × match rate × completeness. Licence cost per usable company = licence cost ÷ usable companies. Review hours = (attempts − usable companies) × review minutes ÷ 60. Review outcomes are not counted as automatically usable records.
Check whether your quote includes the required attempts, endpoints and consumption. This model does not predict that manual review will resolve every exception, and it does not estimate one-time integration cost.
Run a useful evaluation before committing
Prepare a representative sample, ideally 50–100 companies across your actual countries and entity types. This is a practical starting point, not a statistically conclusive benchmark. Include difficult cases as well as easy ones: similar names, branches, inactive companies, holding structures and businesses with limited public filings.
- Define what “pass” means. List mandatory fields, accepted source types, maximum acceptable source age and the evidence needed for a review. Separate critical fields from optional enrichment.
- Resolve the same entities. Use jurisdiction plus registration number where available. Record unmatched and ambiguous results rather than forcing a match from a similar name.
- Check fields and provenance. Capture source, retrieval date, filing date and financial period separately. A recently fetched record can contain an older filing. Measure complete records against your own mandatory-field list.
- Inspect ownership gaps. Record direct versus indirect ownership, missing links, percentages and supporting disclosures. “No data returned” does not establish that a company has no beneficial owner.
- Test production behaviour. Try pagination, retries, rate limits, error codes and empty fields. Verify authentication and any monitoring delivery you intend to use. For AI tools, require company identifiers and source context in answers.
- Agree commercial use and rollout. Confirm internal use, display, retention, redistribution, support and refresh requirements in the contract. Use your measured outcomes in the calculator, then pilot before switching a live onboarding workflow.
For deeper requirements, see ownership and UBO due diligence, digitised financials and company monitoring.
OpenCorporates alternatives: frequently asked questions
What is the best OpenCorporates alternative?
The best fit depends on your countries, mandatory fields and workflow. Compare registry APIs for company lookup, ownership products for relationship research, credit datasets for financial risk and orchestration platforms for onboarding. Test the same entities before choosing; this guide does not assign an overall winner.
Does OpenCorporates have an API?
Yes. OpenCorporates documents an API with authentication, company search and company information. Call limits depend on the account and plan, so check the current commercial terms for your intended use.
Is the OpenCorporates API free?
OpenCorporates has qualifying public-benefit access arrangements and paid commercial plans. Do not assume a free browsing experience includes unrestricted commercial API access. Confirm your licence, eligibility and rate limits.
Does OpenCorporates provide ownership data?
It can contain company relationships and ownership-related statements where its underlying sources disclose them. Availability varies. Disclosed ownership is different from a fully resolved beneficial-ownership chain, so evaluate the exact fields and source evidence required.
Can Zephira replace OpenCorporates in a KYB workflow?
Zephira is an option to evaluate for company identity, disclosed relationships and available filed financials. Whether it can replace an existing source depends on coverage, required fields, evidence, licensing and integration requirements. Validate a representative sample before changing your workflow.
Which alternative is cheapest?
There is no reliable universal answer. Compare the same volume and required outputs, including licence costs, consumption units, manual exceptions and integration effort. The calculator above models cost per usable company using your own quote and test results.
Can I get company financial statements through these products?
Several listed products offer financial information, but countries, entity types, filing obligations and financial periods differ. Verify whether you receive structured filed statements, derived measures or a credit report, and check currency, units and source dates.
Does a company-data API complete KYB compliance?
No. Registry and ownership data can support KYB, but your workflow may also need risk assessment, screening, documentary evidence, review and ongoing monitoring. The required process depends on your organisation and applicable obligations.
Make the next step a coverage test
Tell us which companies, fields and delivery method matter to your workflow. Evaluate Zephira on usable records and documented evidence before deciding how to integrate it.